Medical Large Language Models
I attended last week the Medical Large Language Models for Clinical Text Summarization, Information Extraction, and Question Answering from John Snow Labs. I’m sharing my notes here. LLMs LLMs and NLP in general are providing new tools to solve existing problems in healthcare. Here is a list of some new tools that are available today: Question Answering Text Summarization Text Generation Information extraction (e.g. from clinical notes) Relation extraction (e.g. symptoms related to a disease) Entity recognition (like ICD-10 code extraction) Chatbots Many open source LLMs available today have close performance to the best commercial state-of-the-art models, like GPT-4, GPT-3.5-turbo form OpenAI or Claude from Anthropic. The last tend to be general purpose, powerful, but extremely expensive to train. The open source models tend to lack performance in a broad sense but can be fine-tuned to specific tasks. This field is moving fast, which means that there is much potential for innovation, but it’s also a challenge to keep up with the state-of-the-art. ...
